gpt-expt-sp-v3-K-600-MA-kmeans-v1 – AI Model by nikaashpuri | AlphaNeural AI

You can deploy this model and start earning money today!

nikaashpuri/
gpt-expt-sp-v3-K-600-MA-kmeans-v1

like

0

text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

gpt-expt-sp-v3-K-600-MA-kmeans-v1

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0165

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1526	18.31	5000	0.0965
0.0728	36.63	10000	0.0381
0.0244	54.94	15000	0.0198
0.0204	73.26	20000	0.0183
0.023	91.57	25000	0.0173
0.0184	109.89	30000	0.0173
0.0182	128.2	35000	0.0172
0.0183	146.52	40000	0.0169
0.0175	164.83	45000	0.0170
0.0176	183.15	50000	0.0169
0.0174	201.46	55000	0.0170
0.0173	219.78	60000	0.0169
0.0172	238.1	65000	0.0168
0.0171	256.41	70000	0.0167
0.0171	274.72	75000	0.0167
0.017	293.04	80000	0.0167
0.0169	311.35	85000	0.0167
0.0169	329.67	90000	0.0166
0.0168	347.98	95000	0.0166
0.0168	366.3	100000	0.0166
0.0167	384.61	105000	0.0166
0.0167	402.93	110000	0.0166
0.0167	421.24	115000	0.0166
0.0166	439.56	120000	0.0165
0.0166	457.87	125000	0.0165
0.0166	476.19	130000	0.0165
0.0166	494.5	135000	0.0165

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2